| Jae_V vs Bryan | 41–39 | 51.25% |
| Jae_V vs Hwoarang | 39–38 | 50.65% |
| Jae_V vs Paul | 28–36 | 43.75% |
| Jae_V vs Kazuya | 40–23–1 | 63.49% |
| Jae_V vs Dragunov | 35–26 | 57.38% |
| Jae_V vs Reina | 28–28 | 50.00% |
| Jae_V vs Jin | 32–22 | 59.26% |
| Jae_V vs Steve | 24–19 | 55.81% |
| Jae_V vs King | 20–19 | 51.28% |
| Jae_V vs Asuka | 18–20 | 47.37% |
| Jae_V vs Devil Jin | 24–10 | 70.59% |
| Jae_V vs Victor | 15–15 | 50.00% |
| Jae_V vs Azucena | 17–10 | 62.96% |
| Jae_V vs Lili | 10–15 | 40.00% |
| Jae_V vs Feng | 8–12 | 40.00% |
| Jae_V vs Yoshimitsu | 8–11 | 42.11% |
| Jae_V vs Law | 6–12 | 33.33% |
| Jae_V vs Lars | 11–7 | 61.11% |
| Jae_V vs Jun | 7–10 | 41.18% |
| Jae_V vs Heihachi | 8–9 | 47.06% |
| Jae_V vs Lidia | 8–8 | 50.00% |
| Jae_V vs Armor King | 9–6 | 60.00% |
| Jae_V vs Claudio | 8–6 | 57.14% |
| Jae_V vs Nina | 5–9 | 35.71% |
| Jae_V vs Leroy | 6–8 | 42.86% |
| Jae_V vs Alisa | 6–7 | 46.15% |
| Jae_V vs Jack-8 | 3–7 | 30.00% |
| Jae_V vs Xiaoyu | 4–3 | 57.14% |
| Jae_V vs Lee | 4–3 | 57.14% |
| Jae_V vs Eddy | 3–4 | 42.86% |
| Jae_V vs Clive | 5–2 | 71.43% |
| Jae_V vs Raven | 2–4 | 33.33% |
| Jae_V vs Anna | 4–1 | 80.00% |
| Jae_V vs Leo | 1–3 | 25.00% |
| Jae_V vs Shaheen | 4–0 | 100.00% |
| Jae_V vs Panda | 3–1 | 75.00% |
| Jae_V vs Zafina | 2–2 | 50.00% |
| Jae_V vs Kuma | 1–2 | 33.33% |
| Jae_V vs Fahkumram | 2–0 | 100.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.